Human Age Prediction and Classification Using Facial Image
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 5
Abstract
Human face is one of the most important sources of the information, which can be utilized for personal verification and identification. This paper discusses the method of finding the human age using the facial image of a person. It has many real world applications like human computer interaction, internet security, multimedia communication, vending machines etc. During growth, aging is affected in two main forms, one is the size and shape variation and the other is the textural variation. In this paper, we use the textural variation of the face during the growth, which appear more in the adulthood in the form of wrinkles. Areas of the face where these textural variations occur more are identified, like forehead, cheeks, regions around eyes etc. Studying these areas, the human age is identified and classified. Here we use the method of Hough Transform for feature extraction and Polynomial Regression for age classification.
Authors and Affiliations
Sithu Ubaid , Dr. Shyama Das , Imthiyas M. P.
Keywords
Related Articles
- EP ID EP135782
- DOI -
- Views 104
- Downloads 0
An Efficient Algorithm for Reliability Upper Bound of Distributed Systems with Unreliable Nodes
Abstract— The reliability of distributed systems in which the communication links are considered reliable while the computing nodes may fail with certain probabilities have been modeled by a probabilistic network or a gr...
A Review of Feature Selection Algorithms for Data Mining Techniques
Feature selection is a pre-processing step, used to improve the mining performance by reducing data dimensionality. Even though there exists a number of feature selection algorithms, still it is an active research area i...
Mobility Prediction and Load Balancing Based Adaptive Handovers for LTE Systems
In cellular networks including Long Term Evolution (LTE) systems, how to balance the load is indispensable because traffic load and local user densities vary dynamically. A load balancing problem occurs when available wi...
A Novel Approach to Clustering of Proteins
Data Analysis plays an indispensable role for understanding various phenomena. Clustering algorithms are a class of important tools for data analysis. K-means cluster analysis is considered to cluster protein variates ac...
An Algorithmic Approach for Efficient Image Compression using Neuro-Wavelet Model and Fuzzy Vector Quantization Technique
Applications, which need to store large database and/or transmit digital images requiring high bit-rates over channels with limited bandwidth, have demanded improved image compression techniques. This paper describes pra...